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TAR

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Technology Assisted Review

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/CharlesPDX/explainable-tar

공식 코드

Opening the TAR Black Box: Developing an Interpretable System for eDiscovery Using the Fuzzy ARTMAP Neural Network

https://github.com/Clench/TAR_resAE

공식 코드

TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning

https://github.com/EdwinKim3069/XtarNet

공식 코드

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning

https://github.com/WanzhengZhu/Euphemism

공식 코드

Euphemistic Phrase Detection by Masked Language Model

https://github.com/alibaba-miil/headsharingkd

공식 코드

It's All in the Head: Representation Knowledge Distillation through Classifier Sharing

https://github.com/ccasimiro88/TranslateAlignRetrieve

공식 코드

Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering

https://github.com/engelsjo/RaspiReader

공식 코드

Infant-Prints: Fingerprints for Reducing Infant Mortality

https://github.com/eugene-yang/lsr-for-tar

공식 코드

Contextualization with SPLADE for High Recall Retrieval

https://github.com/eugene-yang/tar-content-moderation

공식 코드

TAR on Social Media: A Framework for Online Content Moderation

https://github.com/eugene-yang/tarexp

공식 코드

TARexp: A Python Framework for Technology-Assisted Review Experiments

https://github.com/filyp/mudman

공식 코드

Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization

https://github.com/ielab/dense-screening-feedback

공식 코드

Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation

https://github.com/ielab/goldilocks-reproduce

공식 코드

A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR

https://github.com/keivanB/Young_Face_Aging_YFA

공식 코드

Face Recognition In Children: A Longitudinal Study

https://github.com/lslland/t-vaccine

공식 코드

Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation

https://github.com/rakshitha123/setar_trees

공식 코드

SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting

https://github.com/reembinhezam/grlstop

공식 코드

A Generalised and Adaptable Reinforcement Learning Stopping Method

https://github.com/reembinhezam/rlstop

공식 코드

RLStop: A Reinforcement Learning Stopping Method for TAR

https://github.com/reembinhezam/tar_stopping_cp_clf

공식 코드

Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review

https://github.com/reembinhezam/tar_stopping_point_processes

공식 코드

Stopping Methods for Technology Assisted Reviews based on Point Processes

https://github.com/rishub-tamirisa/tamper-resistance

공식 코드

Tamper-Resistant Safeguards for Open-Weight LLMs

https://github.com/seasonSH/DocFace

공식 코드

DocFace+: ID Document to Selfie Matching

https://github.com/shawnkx/NAT-with-Local-AT

공식 코드

Incorporating a Local Translation Mechanism into Non-autoregressive Translation

https://github.com/tvpian/project-tar

공식 코드

Track Anything Rapter(TAR)

https://github.com/uuujf/TNAR

공식 코드

Tangent-Normal Adversarial Regularization for Semi-supervised Learning

https://github.com/yqx7150/cm-dm

공식 코드

https://github.com/zhengchen1999/bi-diffsr

공식 코드

Binarized Diffusion Model for Image Super-Resolution

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.